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In silico study on radiobiological efficacy of Ac-225 and Lu-177 for PSMA-guided radiotherapy.

Authors :
Birindelli G
Drobnjakovic M
Morath V
Steiger K
D'Alessandria C
Gourni E
Afshar-Oromieh A
Weber W
Rominger A
Eiber M
Shi K
Source :
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2021 Nov; Vol. 2021, pp. 4497-4500.
Publication Year :
2021

Abstract

The good efficacy of radioligand therapy (RLT) targeting prostate specific-membrane antigen (PSMA) for the treatment of metastatic castration-resistant prostate cancer (mCRPC) has been recently demonstrated in several clinical studies. However, the treatment effect of <superscript>177</superscript> Lu-PSMA-ligands is still suboptimal for a significant fraction of patients. In contrast to external beam radiotherapy, the radiation dose distribution itself is strongly influenced by the heterogeneous tumour microenvironment. Although microdosimetry is critical for RLT treatment outcome, it is difficult to clinically or experimentally establish the quantitative relation. We propose an in silico approach to quantitatively investigate the microdosimetry and its influence on treatment outcome for PSMA-directed RLT of two different radioisotopes <superscript>177</superscript> Lu and <superscript>225</superscript> Ac. The ultimate goal is optimize the combined <superscript>177</superscript> Lu and <superscript>225</superscript> Ac-PSMA therapy and maximize the anti-tumour effect, while minimizing irradiation of off-target tissues.Clinical relevance- With the proposed hybrid model we show that <superscript>177</superscript> Lu-PSMA-ligands treatment assures a more homogeneously distributed dose and a lower dependency of the treatment outcome on the domain vascularisation. On the other hand, the <superscript>225</superscript> Ac-PSMA-ligands treatment shows a much stronger efficacy in killing tumor cells with an equivalent mean dose distribution even in an hypoxic environment.

Details

Language :
English
ISSN :
2694-0604
Volume :
2021
Database :
MEDLINE
Journal :
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Publication Type :
Academic Journal
Accession number :
34892217
Full Text :
https://doi.org/10.1109/EMBC46164.2021.9630297